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    Parsimonious versus extensive bleeding score: can we simplify risk stratification after percutaneous coronary intervention and reduce bleeding events by de-escalation of the antipl... by Pascal Vranckx, Stephan Windecker, Marco Valgimigli, Neil O’Leary, Yoshinobu Onuma, Peter Damman, Eva Christine Ida Woelders, Kai Ninomiya, Denise Adriana Maria Peeters, Arnoud Willem Johannes van 't Hof, Patrick Washington J C Serruys, Robert-Jan Matthijs van Geuns

    Published 2025-01-01
    “…Also, the outcomes stratified by either method were compared and the interaction of HBR on the treatment effect was determined.Results The required parameters for the ZON-HR classification (3.7% HBR) and PRECISE-DAPT score (16.6% HBR) were available in 99.9% and 93% of the patients, respectively. …”
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    Proportion of Variant Anatomy of the Circle of Willis and Association with Vascular Anomalies on Cerebral CT Angiography by Roy Munialo Machasio, Rose Nyabanda, Timothy Musila Mutala

    Published 2019-01-01
    “…Complete CW was seen in 37.2% (37.7% vs. 36.6% in males and females, respectively, p=0.909). …”
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    A deep learning based model for diabetic retinopathy grading by Samia Akhtar, Shabib Aftab, Oualid Ali, Munir Ahmad, Muhammad Adnan Khan, Sagheer Abbas, Taher M. Ghazal

    Published 2025-01-01
    “…In our research, we have developed a deep neural network named RSG-Net (Retinopathy Severity Grading) to classify DR into 4 stages (multi-class classification) and 2 stages (binary classification). …”
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    Classifying tumour infiltrating lymphocytes in oral squamous cell carcinoma histopathology using joint learning framework by Barun Barua, Genevieve Chyrmang, Kangkana Bora, Gazi N. Ahmed, Lopamudra Kakoti, Manob Jyoti Saikia

    Published 2025-01-01
    “…An extensive evaluation of our methodology demonstrates that OralTILs-ViT with the configuration (Adam, $$\alpha$$ α = 0.001) outperforms existing approaches, achieving 96.37% accuracy, 96.34% precision, 96.37% recall, and a 96.35% F1 score. …”
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